www.productleadership.in

B-school for techies

Experiential | Relevant | Practitioners

DATA SCIENCE & ANALYTICS:

RELEVANCE TO THE PRODUCT LEADER

Sumit Dhar

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Industry Connect event, Product Management Institute

25th April 2015

Sumit Dhar

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Vice President- Client analytics & Data Science

[24]7 iLabs

Email: sxd213@gmail.com

M: +91-9686760383

Twitter: @sxd213

Linkedin: https://in.linkedin.com/in/sumitdhar71

Today’s Focus

Data to Big Data the transformation

Opportunities for Prediction &Advanced Analytics

Data Science:- Frameworks + Skills

Productized Framework to enable Data Science &

Analytics

Data Product definitions and what it really means

Embedding Prediction & Advanced Analytics in

Design quicker “pivot or persevere” decisions

A Few examples…

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The focus is on Data Science & analytics and opportunities for

Product Leaders and Professionals

Data Story:- Brief History in time

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‘Big Data’ of transaction & interaction information are creating new

opportunities in value creation

Adopted from AT Kearney- Big Data and the Creative Destruction of Today's Business

ModelsAdopted from AT Kearney- Big Data and the Creative Destruction of Today's Business

Models

Accelerating Data Driven Transformation

Adopted from http://www.mckinsey.com/insights/business_technology/getting_big_impact_from_big_data

Emerging Areas of Data Science & Analytics

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Largely Big Data:- Social + Location+ Devices+ Sensors+ Mobility…

Adopted from AT Kearney- Big Data and the Creative Destruction of Today's Business

Models

Data Science & Analytics Framework

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Data Analytics in the Business Context is more than just ‘Data Science’,

requires a mix of Business, Data, Techniques and Organizational Skills

1. Understand Business Goals

2. Charter Analytics Opportunities &

Prioritize

3. Get Business Sponsorship

4. Identify Data & Data Stewards

5. Data “Munging”

6.Initial Data Analysis

7.Model Build & Deployment

8.Syndicate Insights & Actions

Representative

Consultative

Framework

The Data Science Venn Diagram

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http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

Product Management…

Structured, Design approach to meet specific business

need versus a more tactical service delivery approach

Data Science: Discovery:: Product Management:

Innovation

Product is developed based on the asks of target market

segment versus specific client asks

Product Leaders ensure Engineering abilities (supply) and

Market needs (demand) meet & generate business value

Build Scale…

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My view of things based on interactions with ‘Data Product’

Leaders

The “Big Data Effect”- Engineering Driven Analytics

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http://www.rosebt.com/blog/big-data-analytics-infrastructure

Avoid “Hadump”

Data Product

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http://www.rosebt.com/blog/big-data-analytics-infrastructure

• Any App, solution, software, online component- that

consistently generates or consumes DATA in a

manageable and repeatable manner is a Data Product

• ‘Data Jujitsu’- “Term coined by DJ Patel. the art of using

multiple data elements in clever ways to solve iterative

problems that, when combined, solve a data problem

that might otherwise be intractable.”

• A Successful Product Leader should do the following:

Learn the Science

Spread Knowledge

Engage with Cross Functional Teams

What is it? How a Product Leader should prepare?

Data Science + Product Management: Synergy to

drive Innovation

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How do this diverse streams meet?

Data Science

R&D- Explore

Possibilities

Interesting

Problems

Prototypes of

Value Creator

Minimum Viable

Algo (MVA)

Business Integration +

Scale Up (Domain

Knowledge)

Data

Business

Boundary Conditions

Compliance

Client

Engineering

THANK YOU

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